Topic: sbert Goto Github
Some thing interesting about sbert
Some thing interesting about sbert
sbert,This project builds a semantic search engine specifically designed for video content. It utilizes SBERT, to understand the meaning behind user queries and videos. This allows users to search for specific information within videos, skipping irrelevant parts and saving them valuable time.
User: adelelwan24
sbert,Match celebrity users with their respective tweets by making use of Semantic Textual Similarity on over 900+ celebrity users' 2.5 million+ scraped tweets utilizing SBERT, streamlit, tweepy and FastAPI
User: ahmedshahriar
Home Page: https://share.streamlit.io/ahmedshahriar/twittercelebritymatcher/main/main.py
sbert,Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)
User: alexaapo
sbert,Projects for the Artificial Intelligence 2 course at the University of Athens.
User: andrewspano
sbert,emoji_finder
User: astrowonk
sbert,A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Organization: beir-cellar
Home Page: http://beir.ai
sbert,Run sentence-transformers (SBERT) compatible models in Node.js or browser.
Organization: botisan-ai
sbert,Generative Representational Instruction Tuning
Organization: contextualai
Home Page: https://arxiv.org/abs/2402.09906
sbert,Rust port of sentence-transformers (https://github.com/UKPLab/sentence-transformers)
User: cpcdoy
sbert,Here we will upload information concerning our work with personality traits in natural text and Natural Language Processing techniques used to study them.
User: david-saeteros
sbert,Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU
User: dmitrykey
sbert,Linux manual search shell with natural language
User: droyed
sbert,Retrieve themes from a user inputted query and semantically connect them to lyrical data from songs.
User: ektoravlonitis
sbert,MTEB: Massive Text Embedding Benchmark
Organization: embeddings-benchmark
Home Page: https://arxiv.org/abs/2210.07316
sbert,Forecasting the Adoption Process of Technology Using AI Methods
User: faridnec
sbert,Server over Python Faiss serverless implementation to match interfaces used in langchain
User: flagro
Home Page: https://flagrotown.com
sbert,Generative AI & Recommendation Engine --- Firat University / Faculty of Technology / Software Engineering / Final Project
User: fmelihh
sbert,Classification pipeline based on sentenceTransformer and Facebook nearest-neighbor search library
User: gandalf012
sbert,TextReducer - A Tool for Summarization and Information Extraction
User: helliun
sbert,文本相似度,语义向量,文本向量,text-similarity,similarity, sentence-similarity,BERT,SimCSE,BERT-Whitening,Sentence-BERT, PromCSE, SBERT
User: hellonlp
sbert,Premise Selection using OEIS portal
User: honghanhh
sbert,Backend code for GitHub Recommendation Extension
Organization: indexstorm
Home Page: https://indexstorm.com/
sbert,Code for "Model Agnostic Knowledge Transfer Methods for Sentence Embedding Models" paper by Gunel and Amasyali.
User: kadir-gunel
sbert,Cluster documents and extract global and local topics per cluster using LDA (Latent Dirichlet Allocation) algorithm
User: kedir
sbert,Usage of BERT models for text clustering techniques using sentence embeddings
User: laurentveyssier
sbert,Embedding Representation for Indonesian Sentences!
Organization: lazarusnlp
Home Page: https://lazarusnlp.github.io/indonesian-sentence-embeddings/
sbert,Scripts e utilitários para modelagem e identificação de tópicos relativos a depressão no Reddit, em língua portuguesa e inglesa, usando técnicas de modelagem de tópicos. Os modelos de tópicos Latent Dirichlet Allocation (LDA), Contextualized Topic Model (CTM) e Embedded Topic Model (ETM) foram explorados neste estudo.
User: lfmatosm
sbert,Generación de contestaciones a partir de la aproximación de sus preguntas
User: lmartinezexex
sbert,Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
User: md-experiments
sbert,A tool for performing semantic search within documents using sentence transformers to find contextually relevant text.
User: monish-prabhu
Home Page: https://pypi.org/project/intra-search
sbert,sentence-transformers with tensorflow
User: mymusise
sbert,This project is about developing a document retrieval system to return titles of scientific papers containing the answer to a given user question. Two different sentence embedding approaches have been implemented and compared.
User: myrto-iglezou
sbert,⚕️🦠 Developed a document retrieval system to return titles of scientific papers containing the answer to a given user question based on the first version of the COVID-19 Open Research Dataset (CORD-19) ☣️🧬
User: nikoletos-k
sbert,Datasets and models for medical concept normalization (MCN) in English and German. Results of Bachelor Thesis about MCN using BERT / SBERT.
User: olastor
sbert,Project files contain PyTorch implementations for Siamese BiLSTM models for Semantic Text Similarity task on the SICK Dataset using FastText embeddings. Also contains Siamese BiLSTM-Transformer Encoder and SBERT fine-tuning implementations on the STS Data tasks.
User: sambitbhaumik
sbert,Плагин для SmartApp Framework, осуществляющий векторизацию (получение embedding'ов) текстов с помощью различных моделей
Organization: sberdevices
sbert,[K-Data Science Hackaton 3rd Award] Development and use of Korean large-scale generative language models
User: seungjaelim
sbert,Initially implement Document-Retrieval-System with SBERT embeddings and evaluate it in CORD-19 dataset. Afterwards, fine tune BERT model with SQuAD.v2 dataset so as to evaluate it in Question Answering task.
User: spyros-briakos
sbert,Build and train state-of-the-art natural language processing models using BERT
User: sudharsan13296
Home Page: https://www.amazon.com/gp/product/B08LLDF377/ref=dbs_a_def_rwt_bibl_vppi_i5
sbert,Package to calculate the similarity score between two sentences
User: susheel-1999
sbert,The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
User: theturingexperience
sbert,Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
User: thiswillbeyourgithub
sbert,KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.
User: ukairia777
sbert,Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
Organization: ukplab
sbert,📃Train text similarity model based on Sentence-BERT | 基于Sentence-BERT训练自己的文本相似度模型
User: wangrongsheng
sbert,Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
Organization: wri-dssg-omdena
sbert,anime search engine based description
User: yotakeys
Home Page: https://yota.site/animerecommender/
sbert,基于sentence transformers和chatglm实现的文档搜索工具
User: yuanzhoulvpi2017
sbert,基于sentence-transformers实现文本转向量的机器人
User: yuanzhoulvpi2017
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